本地部署就等于合规Local Deployment Means Compliance
微型指南 · 约 5 分钟Guide · about 5 min · 引用核验 2026-11-06(仅引用链接与日期) · refs checked 2026-11-06 (reference links and dates only)
数据留在自己机器上,解决的是流向问题,不是义务问题。Keeping data on your own machines addresses where data flows, not what obligations apply.
模型部署在本地,合规就自动解决了。Deploy the model locally and compliance is automatically solved.
合规关心的是用途、服务对象、数据获取的授权链条、内容标识与文件留存;这些跟着业务走,不跟着算力位置走。本地部署还要另外处理权重与许可证条款、内部数据接入范围、以及谁在用什么模型。要核对的是「服务如何定性、哪些义务仍适用」,而不是「机器是不是自己的」。(虚构示例)输入是「把同一项对外摘要服务从云端换成本地模型」这个决定 → 处理是照旧核三样:服务面向谁、对外发布的生成内容要不要标识、接入的内部数据授权到哪 → 结果判断是只要有一项仍适用,就不能写「本地部署所以没有义务」→ 下一步是把定性结论交给法务确认,并把标识做法写进发布检查。具体义务以条文原文为准。Compliance follows the business, not the location of the compute: intended use, who the service faces, the authorisation chain for the data, content labeling and record keeping. Local deployment adds its own items - weight and license terms, which internal data gets connected, and who is allowed to use which model. What to verify is how the service is classified and which duties still apply, not whether the machine is yours. (Fictional example) Input is the decision to move the same externally facing summarisation service from cloud to a local model -> processing still checks three things: who the service faces, whether published generated content needs labeling, and how far the internal data authorisation reaches -> if any one of them still applies, the conclusion "local deployment, therefore no duties" is wrong -> the next step is to have legal confirm the classification and to write the labeling practice into the release check. Final obligations follow the text of the rule.
例子与判断Example and interpretation
以下是教学情境,不是本站运行或实测记录。A teaching scenario, not a measured or executed site test.
同一个模型跑在本机,仍然可能因为日志上云、远程插件回传、运维可登机器而失去「数据不出网」。合规要看数据流向与授权记录,不是看机器在哪。A model running on your own machine can still leak through cloud logging, plugin callbacks or operator shell access. Compliance follows data flows and authorization records, not the physical location of the box.
做完例子后怎么检查How to check your practice
先用自己的话解释上面的判断,再检查输入条件,最后回原文验证。说不清原因时回概念;缺日期、字段或权限时补输入;结论无出处时先撤回结论。Explain the example in your own words, inspect input constraints, then verify against the source. Revisit concepts if you cannot explain why; supply missing dates, fields or permissions; withdraw unsupported conclusions.
按这篇主题,先从“结果缺验证”练习查起For this topic, start with unchecked output · 查看全部六个情境与理由See all six scenarios and their reasoning
本地部署Local Deployment 数据驻留Data Residency 生成式 AI 合规义务Generative AI Compliance Duties 隐私与合规Privacy & Compliance